Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
Sparks of generative pretrained transformers in edge intelligence for the metaverse: Caching and inference for mobile artificial intelligence-generated content services
Aiming at achieving artificial general intelligence (AGI) for the metaverse, pretrained
foundation models (PFMs), eg, generative pretrained transformers (GPTs), can effectively …
foundation models (PFMs), eg, generative pretrained transformers (GPTs), can effectively …
Filling the missing: Exploring generative ai for enhanced federated learning over heterogeneous mobile edge devices
Distributed Artificial Intelligence (AI) model training over mobile edge networks encounters
significant challenges due to the data and resource heterogeneity of edge devices. The …
significant challenges due to the data and resource heterogeneity of edge devices. The …
Privacy-preserving Pseudonym Schemes for Personalized 3D Avatars in Mobile Social Metaverses
The emergence of mobile social metaverses, a novel paradigm bridging physical and virtual
realms, has led to the widespread adoption of avatars as digital representations for Social …
realms, has led to the widespread adoption of avatars as digital representations for Social …
A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0
Web 3.0, as the third generation of the World Wide Web, aims to solve contemporary
problems of trust, centralization, and data ownership. Driven by the latest advances in …
problems of trust, centralization, and data ownership. Driven by the latest advances in …
Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving
J Zhang, Z Wei, B Liu, X Wang, Y Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
In dynamic autonomous driving environment, Artificial Intelligence-Generated Content
(AIGC) technology can supplement vehicle perception and decision making by leveraging …
(AIGC) technology can supplement vehicle perception and decision making by leveraging …
[PDF][PDF] Comparative Analysis of Open-Source ML Pipeline Orchestration Platforms
R Bergmann, F Theusch, P Heisterkamp, N Grigoryan - researchgate.net
This bachelor thesis presents a comparative analysis of open-source machine learning (ML)
pipeline orchestration platforms, with a focus on their applicability for deep learning time …
pipeline orchestration platforms, with a focus on their applicability for deep learning time …